What i s Cyber security ?
Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes.
Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative.
A successful cybersecurity approach has multiple layers of protection spread across the computers, networks, programs, or data that one intends to keep safe. In an organization, the people, processes, and technology must all complement one another to create an effective defense from cyber attacks. A unified threat management system can automate integrations across select Cisco Security products and accelerate key security operations functions: detection, investigation, and remediation.
Technology is essential to giving organizations and individuals the computer security tools needed to protect themselves from cyber attacks. Three main entities must be protected: endpoint devices like computers, smart devices, and routers; networks; and the cloud. Common technology used to protect these entities include next-generation firewalls, DNS filtering, malware protection, antivirus software, and email security solutions.
What Can AI Do for Cybersecurity?
Given the state of cybersecurity today, the implementation of AI systems into the mix can serve as a real turning point. These systems come with a number of substantial benefits that will help prepare cybersecurity professionals for taking on cyber-attacks and safeguarding the enterprise.
New AI algorithms use Machine Learning (ML) to adapt over time. Simon Crosby Co–founder and CTO at Bromium, writes that ML makes it easier to respond to cybersecurity risks. New generations of malware and cyber-attacks can be difficult to detect with conventional cybersecurity protocols. They evolve over time, so more dynamic approaches are necessary. Cybersecurity solutions that rely on ML use data from prior cyber-attacks to respond to newer but somewhat similar risk.
Another great benefit of AI systems in cybersecurity is that they will free up an enormous amount of time for tech employees. AI is most commonly used to detect simple threats and attacks. Given that the simplest attacks usually have the simplest solutions, the systems are also likely be able to remediate the situation on its own.
How can cybersecurity experts leverage AI? They depend on intelligent automation to trigger risk red flags that humans may not have the time and resources to search for. Steve Grobman, CTO at McAfee states that AI won’t make human cybersecurity experts obsolete, but it is reducing the need to have as many on staff and is increasing their effectiveness.
Another way AI systems can help is by categorizing attacks based on threat level. While there’s still a fair amount of work to be done here (52% of cyber professionals say systems aren’t accurate enough), when deep machine learning principles are incorporated into your systems, they can actually adapt over time, giving you a dynamic edge over cyber terrorists.
AI systems that directly handle threats on their own do so according to a standardized procedure or playbook. Rather than the variability (and ultimately inaccuracy) that comes with a human touch, AI systems don’t make mistakes in performing their function. As such, each threat is responded to in the most effective and proper way.
Unfortunately, there will always be limits of AI, which is why Grobman states that human-machine teams will be key to solving increasingly complex cybersecurity challenges:
“If you think about other areas that are taking advantage of machine learning or AI, very often they just improve over time. A great example is weather forecasting. As we build better predictive models for hurricane forecasting, they’re going to continue to get better over time.
“With cybersecurity, as our models become effective at detecting threats, bad actors will look for ways to confuse the models. It’s a field we call adversarial machine learning, or adversarial AI. Bad actors will study how the underlying models work and work to either confuse the models — what we call poisoning the models, or machine learning poisoning – or focus on a wide range of evasion techniques, essentially looking for ways they can circumvent the models.”
According to a Workfront report, more employers are depending on automation to solve their most pressing challenges. Cybersecurity professionals are among the employees using automation to utilize their time more effectively and bolster job performance.
AI: The Future of Cybersecurity
We’ve never faced more varied or far-reaching cyber threats than we have today. What’s worse is that these attacks are becoming more common, more sophisticated, and more impactful. When you add a dwindling cybersecurity workforce into the mix, the outlook isn’t great.
However, AI systems can help address some of those problems and ultimately give your business an advantage when facing a cyber-attack.
Cybersecurity solutions that rely on AI can use existing data to handle new generations of malware and cybersecurity attacks.
Surveillance and Security through IoT
The security and surveillance industry is changing, and solutions have moved far past basic alarm monitoring. Live video surveillance and other remote security features have increased visibility for organizations that want to safeguard their people, assets, and buildings. The Internet of Things (IoT) is helping create safer cities, homes, and businesses by enabling both private and public organizations to securely and remotely monitor facilities and public spaces in real-time with smart security and surveillance solutions.
Make surveillance simple
By harnessing the power of IoT for your security and surveillance solutions, you enable building owners, organization managers, and security professionals to:
Manage and control surveillance devices remotely to monitor all aspects of a facility.
Make smarter decisions about the best course of action to take based on real-time security conditions.
Determine when there is a false alarm without having to physically inspect the location or unnecessarily dispatch law enforcement. Collect and analyze data to make important improvements to security processes and systems.
Prevent loss of critical assets
Perhaps the greatest benefit of using IoT solutions for your security system is the ability to prevent the loss of critical assets. IoT security solutions allow organizations to:
Gain greater visibility over who enters and leaves a facility in real-time.
Consistently and securely monitor facility conditions from any location with Wi-Fi access.
Act quickly on important security alerts delivered right to their mobile device.